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Katie Horne
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chore: update GPU doc (coder#726)
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admin/workspace-management/gpu-acceleration.md

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@@ -3,22 +3,23 @@ title: "GPU acceleration"
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description: Learn how to use GPUs with workspaces.
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---
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GPUs can be used for performing tasks such as machine learning within
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workspaces.
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Graphical processing units (GPUs) are useful with compute-intensive workloads,
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such as those involved with data science/machine learning projects.
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By default, users cannot create workspaces with GPUs until a site manager
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configures and enables this feature.
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You can allocate GPUs to workspaces once a site manager configures and enables
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this feature. Enabling GPU acceleration requires that you've configured your
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Kubernetes cluster and
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[scheduled GPUs](https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/).
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For instructions on how to schedule GPUs with your specific cloud vendor, see:
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### Step 1: Configure your Kubernetes cluster
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- [Amazon Elastic Container Service](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-gpu.html)
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- [Azure Kubernetes Service](https://docs.microsoft.com/en-us/azure/aks/gpu-cluster)
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- [Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine/docs/how-to/gpus)
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<a href="https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/"
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target="_blank" rel="noreferrer noopener">Configure</a> your Kubernetes cluster
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with the available GPUs and all necessary device plugins and drivers.
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Once your Kubernetes cluster has been configured, you can enable GPUs in Coder.
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### Step 2: Enable GPU vendor in Coder
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Go to **Manage** > **Admin**. On the **Infrastructure** tab, find the **GPU
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Vendor** setting, and change it to the GPU vendor of choice (either **AMD** or
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**Nvidia**). Click **Save Vendor**.
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To do so, go to **Manage** > **Admin**. On the **Infrastructure** tab, find the
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**GPU Vendor** setting, and change it to the GPU vendor of choice (either
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**AMD** or **Nvidia**). Click **Save Vendor**.
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![Enable GPU vendor](../../assets/admin/gpu.png)

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